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市场调查报告书
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1981209

2026年全球油气市场生成式人工智慧（AI）报告

Generative Artificial Intelligence (AI) In Oil And Gas Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，石油和天然气市场中生成式人工智慧（AI）的市场规模迅速扩张。预计该市场规模将从2025年的5.3亿美元成长到2026年的6.2亿美元，复合年增长率（CAGR）为17.2%。过去几年成长要素包括：数位化监测系统的应用、对人工智慧在预测性维护方面投入的增加、探勘和生产活动的扩张、储存建模中数据分析的早期应用以及对提高营运效率的需求。

预计未来几年，石油和天然气市场中生成式人工智慧的市场规模将快速成长，到2030年将达到11.5亿美元，复合年增长率（CAGR）为16.9%。预测期内的成长预计将受到以下因素的驱动：基于云端的人工智慧解决方案在即时监控中的应用、可扩展的SaaS型人工智慧平台的普及、资产性能预测建模的扩展、人工智慧在钻井决策支援中的应用日益广泛，以及用于探勘优化的可自订人工智慧模型的引入。预测期内的关键趋势包括：设施的预测性维护、储存建模的最佳化、人工智慧驱动的钻井最佳化、即时探勘分析以及作业中的异常检测。

向云端运算技术的转型预计将加速石油和天然气市场生成式人工智慧的发展。云端运算技术透过网际网路提供储存、处理和应用程式等运算服务，而非依赖本机伺服器或个人设备。对云端运算技术日益增长的需求源于可扩展IT基础设施、成本效益、改进协作以及远端办公和数位转型（DX）计划兴起的迫切需求。云端运算技术透过提供管理大规模资料集所需的运算能力和资料存储，赋能石油和天然气产业的生成式人工智慧，从而提升预测分析能力、优化资源开采并增强决策能力。例如，总部位于英国的IT服务管理公司Gartner在2024年11月预测，公共云端支出将从2024年的5957​​亿美元成长到2025年的7,234亿美元，到2027年，90%的组织将采用混合云端模式。因此，向云端运算技术的持续转型正在推动石油和天然气市场生成式人工智慧的发展。

在石油和天然气市场部署生成式人工智慧的主要企业正日益采用先进的人工智慧技术，例如生成式人工智慧的大规模语言模型，以支援数据驱动的决策、优化营运并提供预测性洞察。生成式人工智慧的大规模语言模型能够处理数百亿个参数，并产生准确且灵活的输出。例如，沙乌地阿拉伯石油和燃气公司沙特阿美于2024年3月推出了“Aramco Metabrain AI”，这是一个专为其能源领域开发的大规模语言模型。该模型分析数十年的历史数据，用于评估钻井计划、分析地质资讯、预测市场趋势并为策略决策提供支援。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球生成式人工智慧（AI）油气市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
    • 自主系统、机器人、智慧运输
    • 物联网、智慧基础设施、互联生态系统
  • 主要趋势
    • 设备的预测性维护
    • 储存模型优化
    • 人工智慧驱动的钻井优化
    • 即时探勘分析
    • 营运中的异常检测

第五章 终端用户产业市场分析

  • 石油和燃气公司
  • 挖掘承包商
  • 设备製造商
  • 服务供应商
  • 顾问公司

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球生成式人工智慧（AI）油气市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球生成式人工智慧（AI）油气市场规模、比较及成长率分析
  • 全球生成式人工智慧（AI）油气市场表现：规模与成长，2020-2025年
  • 全球生成式人工智慧（AI）油气市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 不同的发展
  • 本机部署、云端部署
  • 按功能
  • 数据分析与解释、预测建模、异常检测、决策支援等功能。
  • 透过使用
  • 资产维护、钻井优化、探勘与生产、储存建模及其他应用。
  • 最终用户
  • 石油和燃气公司、钻井承包商、设备製造商、服务供应商和咨询公司。
  • 按部署类型分類的本机部署子细分
  • 基础设施管理、资料安全解决方案、旧有系统整合、可自订人工智慧模型
  • 基于云端的细分，按部署方式
  • 软体即服务 (SaaS)、资料储存与分析、即时监控解决方案、可扩展的人工智慧解决方案

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球生成式人工智慧（AI）油气市场：区域细分、实际资料及预测（2020-2025年、2025-2030年、2035年）
  • 全球生成式人工智慧（AI）油气市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 石油和天然气市场中的生成式人工智慧（AI）：竞争格局和市场份额，2024 年
  • 石油和天然气市场中的生成式人工智慧（AI）：公司估值矩阵
  • 石油和天然气市场的生成式人工智慧（AI）：公司概况
    • Exxon Mobil Corporation
    • Google LLC
    • Chevron Corporation
    • TotalEnergies SE
    • Microsoft Corporation

第38章 其他大型企业和创新企业

  • Equinor ASA, Siemens AG, International Business Machines Corporation, Honeywell International Inc., ABB Ltd., Tata Consultancy Services Limited, Cognizant Technology Solutions Corporation, Infosys Limited, DXC Technology Company, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., AVEVA Group plc, Aspen Technology Inc., C3.AI Inc.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年石油和天然气市场中的生成式人工智慧（AI）：提供新机会的国家
  • 2030年石油天然气市场中的生成式人工智慧（AI）：蕴藏新机会的细分领域
  • 2030年石油和天然气市场中的生成式人工智慧（AI）：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MGAIA16_G26Q1

Generative artificial intelligence (AI) in the oil and gas sector involves AI systems capable of generating new data, models, or insights from existing information. This capability enhances decision-making, efficiency, and innovation by forecasting equipment failures, reservoir behavior, and production outcomes through advanced simulation models. It also improves the automation of routine tasks such as data analysis and reporting by developing adaptive and intelligent systems.

Generative AI in the oil and gas industry is primarily deployed either on-premise or in the cloud. On-premise solutions are installed and operated on a company's own hardware. These solutions handle various tasks such as data analysis, predictive modeling, anomaly detection, and decision support for applications including asset maintenance, drilling optimization, exploration and production, and reservoir modeling. These systems serve a range of users, including oil and gas companies, drilling contractors, equipment manufacturers, service providers, and consulting firms.

Tariffs have affected the generative AI in oil and gas market by increasing the cost of importing AI software, cloud services, and hardware necessary for exploration, drilling, and production operations. Regions like North America and the Middle East, which rely on imported AI technology and analytics solutions, are particularly impacted. Segments such as predictive maintenance, reservoir modeling, and real-time exploration analytics face increased operational expenses. On the positive side, tariffs are stimulating local development of AI solutions, encouraging innovation, and enabling oil and gas companies to adopt more cost-effective, domestically produced technologies.

The generative artificial intelligence (AI) in oil and gas market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in oil and gas market statistics, including generative artificial intelligence (AI) in oil and gas industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in oil and gas market share, detailed generative artificial intelligence (AI) in oil and gas market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in oil and gas industry. This generative artificial intelligence (AI) in oil and gas market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative artificial intelligence (AI) in oil and gas market size has grown rapidly in recent years. It will grow from $0.53 billion in 2025 to $0.62 billion in 2026 at a compound annual growth rate (CAGR) of 17.2%. The growth in the historic period can be attributed to adoption of digital monitoring systems, increasing investment in AI for predictive maintenance, growth of exploration and production activities, early use of data analytics in reservoir modeling, demand for operational efficiency improvements.

The generative artificial intelligence (AI) in oil and gas market size is expected to see rapid growth in the next few years. It will grow to $1.15 billion in 2030 at a compound annual growth rate (CAGR) of 16.9%. The growth in the forecast period can be attributed to integration of cloud-based AI solutions for real-time monitoring, adoption of scalable saas AI platforms, expansion of predictive modeling for asset performance, increased use of AI for decision support in drilling, deployment of customizable AI models for exploration optimization. Major trends in the forecast period include predictive maintenance for equipment, reservoir modeling optimization, AI-powered drilling optimization, real-time exploration analytics, anomaly detection in operations.

An increasing shift toward cloud technologies is expected to drive the growth of generative AI in the oil and gas market going forward. Cloud technologies involve delivering computing services such as storage, processing, and applications over the internet rather than relying on local servers or personal devices. The growing demand for cloud technologies is driven by the need for scalable IT infrastructure, cost efficiency, improved collaboration, and the rise of remote work and digital transformation initiatives. Cloud technologies enable generative AI in oil and gas by providing the computing capacity and data storage required to manage large datasets, resulting in improved predictive analytics, optimized resource extraction, and enhanced decision-making. For example, in November 2024, Gartner, a UK-based IT service management company, stated that public cloud spending is anticipated to reach $723.4 billion in 2025, rising from $595.7 billion in 2024, with 90% of organizations projected to adopt a hybrid cloud approach by 2027. Therefore, the increasing shift toward cloud technologies is supporting the growth of generative AI in the oil and gas market.

Leading companies operating in generative AI in the oil and gas market are increasingly adopting advanced AI technologies, such as generative AI large language models, to support data-driven decision-making, optimize operations, and deliver predictive insights. A generative AI large language model processes hundreds of billions of parameters to produce accurate and flexible outputs. For example, in March 2024, Saudi Aramco, a Saudi Arabia-based oil and gas company, launched Aramco Metabrain AI, a large language model developed specifically for the energy sector. The model analyzes decades of historical data to evaluate drilling plans, assess geological information, forecast market trends, and support strategic decision-making.

In May 2023, Shell plc, a UK-based oil and gas company, entered into a partnership with SparkCognition. This collaboration aims to accelerate subsurface imaging and exploration processes by applying generative AI technologies within the oil and gas industry. SparkCognition is a US-based company that develops AI-driven solutions to help energy companies improve operational efficiency, reduce costs, and enhance safety.

Major companies operating in the generative artificial intelligence (AI) in oil and gas market are Exxon Mobil Corporation, Google LLC, Chevron Corporation, TotalEnergies SE, Microsoft Corporation, Equinor ASA, Siemens AG, International Business Machines Corporation, Honeywell International Inc., ABB Ltd., Tata Consultancy Services Limited, Cognizant Technology Solutions Corporation, Infosys Limited, DXC Technology Company, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., AVEVA Group plc, Aspen Technology Inc., C3.AI Inc., Altair Engineering Inc.

North America was the largest region in the generative artificial intelligence in the oil and gas market in 2025. The regions covered in the generative artificial intelligence (AI) in oil and gas market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in oil and gas market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence (AI) in oil and gas market consists of revenues earned by entities by providing services such as exploration and reservoir modeling, predictive maintenance, operational optimization, and supply chain management. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in oil and gas market also includes sales of servers and computing hardware for AI processing, and sensors and IoT devices for data collection. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative Artificial Intelligence (AI) In Oil And Gas Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses generative artificial intelligence (AI) in oil and gas market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for generative artificial intelligence (AI) in oil and gas ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in oil and gas market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Deployment: On-Premise; Cloud-Based
  • 2) By Function: Data Analysis And Interpretation; Predictive Modeling; Anomaly Detection; Decision Support; Other Functions
  • 3) By Application: Asset Maintenance; Drilling Optimization; Exploration And Production; Reservoir Modelling; Other Applications
  • 4) By End User: Oil And Gas Companies; Drilling Contractors; Equipment Manufacturers; Service Providers; Consulting Firms
  • Subsegments:
  • 1) By On-Premise: Infrastructure Management; Data Security Solutions; Legacy System Integration; Customizable AI Models
  • 2) By Cloud-Based: Software as a Service (SaaS); Data Storage and Analytics; Real-Time Monitoring Solutions; Scalable AI Solutions
  • Companies Mentioned: Exxon Mobil Corporation; Google LLC; Chevron Corporation; TotalEnergies SE; Microsoft Corporation; Equinor ASA; Siemens AG; International Business Machines Corporation; Honeywell International Inc.; ABB Ltd.; Tata Consultancy Services Limited; Cognizant Technology Solutions Corporation; Infosys Limited; DXC Technology Company; Emerson Electric Co.; Wipro Limited; Rockwell Automation Inc.; AVEVA Group plc; Aspen Technology Inc.; C3.AI Inc.; Altair Engineering Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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  • Bi-Annual Data Update
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Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative Artificial Intelligence (AI) In Oil And Gas Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative Artificial Intelligence (AI) In Oil And Gas Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.3 Industry 4.0 & Intelligent Manufacturing
    • 4.1.4 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.5 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.2. Major Trends
    • 4.2.1 Predictive Maintenance For Equipment
    • 4.2.2 Reservoir Modeling Optimization
    • 4.2.3 AI-Powered Drilling Optimization
    • 4.2.4 Real-Time Exploration Analytics
    • 4.2.5 Anomaly Detection In Operations

5. Generative Artificial Intelligence (AI) In Oil And Gas Market Analysis Of End Use Industries

  • 5.1 Oil And Gas Companies
  • 5.2 Drilling Contractors
  • 5.3 Equipment Manufacturers
  • 5.4 Service Providers
  • 5.5 Consulting Firms

6. Generative Artificial Intelligence (AI) In Oil And Gas Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative Artificial Intelligence (AI) In Oil And Gas Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Oil And Gas PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative Artificial Intelligence (AI) In Oil And Gas Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative Artificial Intelligence (AI) In Oil And Gas Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative Artificial Intelligence (AI) In Oil And Gas Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative Artificial Intelligence (AI) In Oil And Gas Market Segmentation

  • 9.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premise, Cloud-Based
  • 9.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Data Analysis And Interpretation, Predictive Modeling, Anomaly Detection, Decision Support, Other Functions
  • 9.3. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Asset Maintenance, Drilling Optimization, Exploration And Production, Reservoir Modelling, Other Applications
  • 9.4. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Oil And Gas Companies, Drilling Contractors, Equipment Manufacturers, Service Providers, Consulting Firms
  • 9.5. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Sub-Segmentation Of On-Premise, By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Infrastructure Management, Data Security Solutions, Legacy System Integration, Customizable AI Models
  • 9.6. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Sub-Segmentation Of Cloud-Based, By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software as a Service (SaaS), Data Storage and Analytics, Real-Time Monitoring Solutions, Scalable AI Solutions

10. Generative Artificial Intelligence (AI) In Oil And Gas Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative Artificial Intelligence (AI) In Oil And Gas Market Regional And Country Analysis

  • 11.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 12.1. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 13.1. China Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 14.1. India Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 15.1. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 16.1. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 17.1. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 18.1. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 19.1. Taiwan Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 20.1. South East Asia Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 21.1. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 22.1. UK Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 23.1. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 24.1. France Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 25.1. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 26.1. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 27.1. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 28.1. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 29.1. North America Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 30.1. USA Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 31.1. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 32.1. South America Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 33.1. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 34.1. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 35.1. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Segmentation By Function, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence (AI) In Oil And Gas Market Regulatory and Investment Landscape

37. Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Landscape And Company Profiles

  • 37.1. Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence (AI) In Oil And Gas Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence (AI) In Oil And Gas Market Company Profiles
    • 37.3.1. Exxon Mobil Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Chevron Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. TotalEnergies SE Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis

38. Generative Artificial Intelligence (AI) In Oil And Gas Market Other Major And Innovative Companies

  • Equinor ASA, Siemens AG, International Business Machines Corporation, Honeywell International Inc., ABB Ltd., Tata Consultancy Services Limited, Cognizant Technology Solutions Corporation, Infosys Limited, DXC Technology Company, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., AVEVA Group plc, Aspen Technology Inc., C3.AI Inc.

39. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Oil And Gas Market

41. Generative Artificial Intelligence (AI) In Oil And Gas Market High Potential Countries, Segments and Strategies

  • 41.1. Generative Artificial Intelligence (AI) In Oil And Gas Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence (AI) In Oil And Gas Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence (AI) In Oil And Gas Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer